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Llama3 8B 1.58 100B Tokens

Developed by HF1BitLLM
Large language model fine-tuned based on BitNet 1.58b architecture, with Llama-3-8B-Instruct as the base model, employing extreme quantization techniques
Downloads 2,427
Release Time : 9/10/2024

Model Overview

Llama3-8B-1.58 is an efficient large language model utilizing 1.58-bit quantization, optimized through 100 billion tokens of training, significantly reducing computational resource requirements while maintaining performance

Model Features

Extreme quantization technology
Employs 1.58-bit quantization architecture, significantly reducing model storage and computational requirements
Large-scale training
Trained with 100 billion tokens, achieving performance close to half-precision models
Efficient inference
Reduces resource consumption while maintaining good performance

Model Capabilities

Text generation
Q&A systems
Logical reasoning

Use Cases

Education
Reasoning Q&A
Solving multi-step reasoning problems, such as tracking character position changes
Capable of correctly answering reasoning questions involving multi-step position changes
Research
Quantization technology research
Exploring the performance boundaries of LLMs under extreme quantization conditions
Performance close to half-precision models
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